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authorCoprDistGit <infra@openeuler.org>2023-04-11 01:32:29 +0000
committerCoprDistGit <infra@openeuler.org>2023-04-11 01:32:29 +0000
commit8785a984ca880c8e72826a09654b6b9c1bdabaaa (patch)
tree2594daac7167cd5deb177eabfbb50d7b2a374884
parentc57bca3911935b603c71dc9572b4c1676762afed (diff)
automatic import of python-huey
-rw-r--r--.gitignore1
-rw-r--r--python-huey.spec183
-rw-r--r--sources1
3 files changed, 185 insertions, 0 deletions
diff --git a/.gitignore b/.gitignore
index e69de29..d2735a8 100644
--- a/.gitignore
+++ b/.gitignore
@@ -0,0 +1 @@
+/huey-2.4.5.tar.gz
diff --git a/python-huey.spec b/python-huey.spec
new file mode 100644
index 0000000..fb8c6ec
--- /dev/null
+++ b/python-huey.spec
@@ -0,0 +1,183 @@
+%global _empty_manifest_terminate_build 0
+Name: python-huey
+Version: 2.4.5
+Release: 1
+Summary: huey, a little task queue
+License: None
+URL: http://github.com/coleifer/huey/
+Source0: https://mirrors.nju.edu.cn/pypi/web/packages/a7/2e/a1afc46dd8fadf43eaa7ca7232d1c766d444d636e840278bd1b6c2b6d873/huey-2.4.5.tar.gz
+BuildArch: noarch
+
+
+%description
+ from huey import RedisHuey, crontab
+ huey = RedisHuey('my-app', host='redis.myapp.com')
+ @huey.task()
+ def add_numbers(a, b):
+ return a + b
+ @huey.task(retries=2, retry_delay=60)
+ def flaky_task(url):
+ # This task might fail, in which case it will be retried up to 2 times
+ # with a delay of 60s between retries.
+ return this_might_fail(url)
+ @huey.periodic_task(crontab(minute='0', hour='3'))
+ def nightly_backup():
+ sync_all_data()
+Calling a ``task``-decorated function will enqueue the function call for
+execution by the consumer. A special result handle is returned immediately,
+which can be used to fetch the result once the task is finished:
+ >>> from demo import add_numbers
+ >>> res = add_numbers(1, 2)
+ >>> res
+ <Result: task 6b6f36fc-da0d-4069-b46c-c0d4ccff1df6>
+ >>> res()
+ 3
+Tasks can be scheduled to run in the future:
+ >>> res = add_numbers.schedule((2, 3), delay=10) # Will be run in ~10s.
+ >>> res(blocking=True) # Will block until task finishes, in ~10s.
+ 5
+For much more, check out the `guide <https://huey.readthedocs.io/en/latest/guide.html>`_
+or take a look at the `example code <https://github.com/coleifer/huey/tree/master/examples/>`_.
+Running the consumer
+^^^^^^^^^^^^^^^^^^^^
+Run the consumer with four worker processes:
+ $ huey_consumer.py my_app.huey -k process -w 4
+To run the consumer with a single worker thread (default):
+ $ huey_consumer.py my_app.huey
+If your work-loads are mostly IO-bound, you can run the consumer with threads
+or greenlets instead. Because greenlets are so lightweight, you can run quite a
+few of them efficiently:
+ $ huey_consumer.py my_app.huey -k greenlet -w 32
+
+%package -n python3-huey
+Summary: huey, a little task queue
+Provides: python-huey
+BuildRequires: python3-devel
+BuildRequires: python3-setuptools
+BuildRequires: python3-pip
+%description -n python3-huey
+ from huey import RedisHuey, crontab
+ huey = RedisHuey('my-app', host='redis.myapp.com')
+ @huey.task()
+ def add_numbers(a, b):
+ return a + b
+ @huey.task(retries=2, retry_delay=60)
+ def flaky_task(url):
+ # This task might fail, in which case it will be retried up to 2 times
+ # with a delay of 60s between retries.
+ return this_might_fail(url)
+ @huey.periodic_task(crontab(minute='0', hour='3'))
+ def nightly_backup():
+ sync_all_data()
+Calling a ``task``-decorated function will enqueue the function call for
+execution by the consumer. A special result handle is returned immediately,
+which can be used to fetch the result once the task is finished:
+ >>> from demo import add_numbers
+ >>> res = add_numbers(1, 2)
+ >>> res
+ <Result: task 6b6f36fc-da0d-4069-b46c-c0d4ccff1df6>
+ >>> res()
+ 3
+Tasks can be scheduled to run in the future:
+ >>> res = add_numbers.schedule((2, 3), delay=10) # Will be run in ~10s.
+ >>> res(blocking=True) # Will block until task finishes, in ~10s.
+ 5
+For much more, check out the `guide <https://huey.readthedocs.io/en/latest/guide.html>`_
+or take a look at the `example code <https://github.com/coleifer/huey/tree/master/examples/>`_.
+Running the consumer
+^^^^^^^^^^^^^^^^^^^^
+Run the consumer with four worker processes:
+ $ huey_consumer.py my_app.huey -k process -w 4
+To run the consumer with a single worker thread (default):
+ $ huey_consumer.py my_app.huey
+If your work-loads are mostly IO-bound, you can run the consumer with threads
+or greenlets instead. Because greenlets are so lightweight, you can run quite a
+few of them efficiently:
+ $ huey_consumer.py my_app.huey -k greenlet -w 32
+
+%package help
+Summary: Development documents and examples for huey
+Provides: python3-huey-doc
+%description help
+ from huey import RedisHuey, crontab
+ huey = RedisHuey('my-app', host='redis.myapp.com')
+ @huey.task()
+ def add_numbers(a, b):
+ return a + b
+ @huey.task(retries=2, retry_delay=60)
+ def flaky_task(url):
+ # This task might fail, in which case it will be retried up to 2 times
+ # with a delay of 60s between retries.
+ return this_might_fail(url)
+ @huey.periodic_task(crontab(minute='0', hour='3'))
+ def nightly_backup():
+ sync_all_data()
+Calling a ``task``-decorated function will enqueue the function call for
+execution by the consumer. A special result handle is returned immediately,
+which can be used to fetch the result once the task is finished:
+ >>> from demo import add_numbers
+ >>> res = add_numbers(1, 2)
+ >>> res
+ <Result: task 6b6f36fc-da0d-4069-b46c-c0d4ccff1df6>
+ >>> res()
+ 3
+Tasks can be scheduled to run in the future:
+ >>> res = add_numbers.schedule((2, 3), delay=10) # Will be run in ~10s.
+ >>> res(blocking=True) # Will block until task finishes, in ~10s.
+ 5
+For much more, check out the `guide <https://huey.readthedocs.io/en/latest/guide.html>`_
+or take a look at the `example code <https://github.com/coleifer/huey/tree/master/examples/>`_.
+Running the consumer
+^^^^^^^^^^^^^^^^^^^^
+Run the consumer with four worker processes:
+ $ huey_consumer.py my_app.huey -k process -w 4
+To run the consumer with a single worker thread (default):
+ $ huey_consumer.py my_app.huey
+If your work-loads are mostly IO-bound, you can run the consumer with threads
+or greenlets instead. Because greenlets are so lightweight, you can run quite a
+few of them efficiently:
+ $ huey_consumer.py my_app.huey -k greenlet -w 32
+
+%prep
+%autosetup -n huey-2.4.5
+
+%build
+%py3_build
+
+%install
+%py3_install
+install -d -m755 %{buildroot}/%{_pkgdocdir}
+if [ -d doc ]; then cp -arf doc %{buildroot}/%{_pkgdocdir}; fi
+if [ -d docs ]; then cp -arf docs %{buildroot}/%{_pkgdocdir}; fi
+if [ -d example ]; then cp -arf example %{buildroot}/%{_pkgdocdir}; fi
+if [ -d examples ]; then cp -arf examples %{buildroot}/%{_pkgdocdir}; fi
+pushd %{buildroot}
+if [ -d usr/lib ]; then
+ find usr/lib -type f -printf "/%h/%f\n" >> filelist.lst
+fi
+if [ -d usr/lib64 ]; then
+ find usr/lib64 -type f -printf "/%h/%f\n" >> filelist.lst
+fi
+if [ -d usr/bin ]; then
+ find usr/bin -type f -printf "/%h/%f\n" >> filelist.lst
+fi
+if [ -d usr/sbin ]; then
+ find usr/sbin -type f -printf "/%h/%f\n" >> filelist.lst
+fi
+touch doclist.lst
+if [ -d usr/share/man ]; then
+ find usr/share/man -type f -printf "/%h/%f.gz\n" >> doclist.lst
+fi
+popd
+mv %{buildroot}/filelist.lst .
+mv %{buildroot}/doclist.lst .
+
+%files -n python3-huey -f filelist.lst
+%dir %{python3_sitelib}/*
+
+%files help -f doclist.lst
+%{_docdir}/*
+
+%changelog
+* Tue Apr 11 2023 Python_Bot <Python_Bot@openeuler.org> - 2.4.5-1
+- Package Spec generated
diff --git a/sources b/sources
new file mode 100644
index 0000000..8c85543
--- /dev/null
+++ b/sources
@@ -0,0 +1 @@
+722ddfa2e29339c69e5b0bb75c9d9add huey-2.4.5.tar.gz